Zian Pei — accepted AI-conference papers

2024

BNMTrans: A Brain Network Sequence-Driven Manifold-Based Transformer for Cognitive Impairment Detection Using EEG

Ruihan Qin, Zhenxi Song, Huixia Ren, Zian Pei, Lin Zhu, Xue Shi +4

ICASSP 2024accepted

Identifying mild cognitive impairment (MCI) is vital for Alzheimer’s disease prevention. As neurodegenerative diseases progress, synchronous activity in electroencephalography (EEG) - indicating functional connectivity - changes due to neural system deterioration. Thus, developing geometric learning…

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2023

Disambiguation of Cognitive Impairment Diagnosis with EEG-Based Dual-Contrastive Learning

Zhenxi Song, Zian Pei, Huixia Ren, Lin Zhu, Yi Guo, Zhiguo Zhang

ICASSP 2023accepted

The diagnosis of cognitive impairment (CI), here referred to as mild cognitive impairment (MCI) and probable Alzheimer’s disease (AD), is complicated in practice. Early AD diagnosis using electroencephalography (EEG) has attracted attention due to EEG’s advantages in data accessibility. Because of l…

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